1 / 28

CMSC 330: Organization of Programming Languages

Functional Programming with OCaml. CMSC 330: Organization of Programming Languages. Functional Programming. Functions: inputs → outputs Higher-order functions Functions as arguments Functions as return values Recursion Inductive definitions Base case(s) ‏ Recursive case(s) ‏.

preston
Download Presentation

CMSC 330: Organization of Programming Languages

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Functional Programming with OCaml CMSC 330: Organization of Programming Languages

  2. CMSC 330 Functional Programming Functions: inputs → outputs Higher-order functions Functions as arguments Functions as return values Recursion Inductive definitions Base case(s)‏ Recursive case(s)‏

  3. CMSC 330 Background Early AI research Linguists: natural language processing Psychologists: information storage and retrieval Mathematicians: automatic theorem proving List processing (LISP)‏ Concept introduced by Newell et al. in 1956 John McCarthy and Marvin Minsky at IBM & MIT First specification in 1958 Two main variations Scheme (1970s)‏ Common LISP (1984)‏

  4. CMSC 330 Background Late 1970's – ML (MetaLanguage) developed Robin Milner at the University of Edinburgh Part of a theorem proving system Statically typed Fewer parentheses! Descendants Miranda (1985)‏ Caml (developed at INRIA in 1986)‏ Standard ML (SML) (1990)‏ Haskell (1990)‏

  5. CMSC 330 Dialects of ML Many other dialects of ML But SML/NJ and OCaml are most popular O = “Objective,” but probably won’t cover objects Languages all have the same core ideas But small and annoying syntactic differences So you should not buy a book with ML in the title Because it probably won’t cover OCaml

  6. CMSC 330 Features of ML Higher-order functions Functions can be parameters and return values “Mostly functional” Data types and pattern matching Convenient for certain kinds of data structures Type inference Statically typed Hindley-Milner type inference Parametric polymorphism (generics in Java, templates in C++)‏ Exceptions Garbage collection

  7. CMSC 330 Functional languages In a pure functional language, every program is just an expression evaluation let add1 x = x + 1 let rec add (x,y) = if x=0 then y else add(x-1, add1(y))‏ add(2,3) = add(1,add1(3)) = add(0,add1(add1(3)))‏ = add1(add1(3)) = add1(3+1) = 3+1+1 = 5

  8. CMSC 330 A Small OCaml Program- Things to Notice Use (* *) for comments (may nest)‏ Use let to bind variables (* A small OCaml program *)‏ let x = 37;; let y = x + 5;; print_int y;; print_string "\n";; No type declarations Need to use correct print function (OCaml also has printf)‏ ;; ends a top-level expression Line breaks, spacing ignored

  9. CMSC 330 Run, OCaml, Run OCaml programs can be compiled using ocamlc Produces .cmo (“compiled object”) and .cmi (“compiled interface”) files We’ll talk about interface files later By default, also links to produce executable a.out Use -o to set output file name Use -c to compile only to .cmo/.cmi and not to link You can use a Makefile if you need to compile your files

  10. CMSC 330 Run, OCaml, Run (cont’d)‏ Compiling and running the previous small program: % ocamlc ocaml1.ml % ./a.out 42 % ocaml1.ml: (* A small OCaml program *)‏ let x = 37;; let y = x + 5;; print_int y;; print_string "\n";;

  11. CMSC 330 Run, OCaml, Run (cont’d)‏ Expressions can also be typed and evaluated at the top-level: # 3 + 4;; - : int = 7 # let x = 37;; val x : int = 37 # x;; - : int = 37 # let y = 5;; val y : int = 5 # let z = 5 + x;; val z : int = 42 # print_int z;; 42- : unit = ()‏ # print_string "Colorless green ideas sleep furiously";; Colorless green ideas sleep furiously- : unit = ()‏ # print_int  "Colorless green ideas sleep furiously";; This expression has type string but is here used with type int gives type and value of each expr “-” = “the expression you just typed” unit = “no interesting value” (like void)‏

  12. CMSC 330 Run, OCaml, Run (cont’d)‏ Files can be loaded at the top-level % ocaml Objective Caml version 3.08.3 # #use "ocaml1.ml";; val x : int = 37 val y : int = 42 42- : unit = ()‏ - : unit = ()‏ # x;; - : int = 37 ocaml1.ml: (* A small OCaml program *)‏ let x = 37;; let y = x + 5;; print_int y;; print_string "\n";; #use loads in a file one line at a time

  13. CMSC 330 Basic Types in OCaml Read e : t as “expression e has type t” 42 : int true : bool "hello" : string 'c' : char 3.14 : float () : unit (* don’t care value *)‏ OCaml has static types to help you avoid errors Note: Sometimes the messages are a bit confusing # 1 + true;; This expression has type bool but is here used with type int Watch for the underline as a hint to what went wrong But not always reliable

  14. CMSC 330 More on the Let Construct let is often used for local variables let x = e1 in e2 means Evaluate e1 Then evaluate e2, with x bound to result of evaluating e1 x is not visible outside of e2 let pi = 3.14 in pi *. 3.0 *. 3.0;; pi;; bind pi in body of let floating point multiplication error

  15. CMSC 330 More on the Let Construct (cont’d)‏ Compare to similar usage in Java/C In the top-level, omitting in means “from now on”: # let pi = 3.14;; (* pi is now bound in the rest of the top-level scope *)‏ let pi = 3.14 in pi *. 3.0 *. 3.0;; pi;; { float pi = 3.14; pi * 3.0 * 3.0; } pi;

  16. CMSC 330 Nested Let Uses of let can be nested let pi = 3.14 in let r = 3.0 in pi *. r *. r;; (* pi, r no longer in scope *)‏ { float pi = 3.14; float r = 3.0; pi * r * r; } /* pi, r not in scope */

  17. CMSC 330 Defining Functions list parameters after function name use let to define functions let next x = x + 1;; next 3;; let plus (x, y) = x + y;; plus (3, 4);; no return statement no parentheses on function calls

  18. CMSC 330 Local Variables You can use let inside of functions for locals And you can use as many lets as you want let area r = let pi = 3.14 in pi *. r *. r let area d = let pi = 3.14 in let r = d /. 2.0 in pi *. r *. r

  19. CMSC 330 Function Types In OCaml, -> is the function type constructor The type t1 -> t2 is a function with argument or domain type t1 and return or range type t2 Examples let next x = x + 1 (* type int -> int *)‏ let fn x = (float_of_int x) *. 3.14 (* type int -> float *)‏ print_string (* type string -> unit *)‏ Type a function name at top level to get its type

  20. CMSC 330 Type Annotations The syntax (e : t) asserts that “e has type t” This can be added anywhere you like let (x : int) = 3 let z = (x : int) + 5 Use to give functions parameter and return types let fn (x:int):float = (float_of_int x) *. 3.14 Note special position for return type Thus letg x:int = ... means g returns int Very useful for debugging, especially for more complicated types

  21. CMSC 330 ;; versus ; ;; ends an expression in the top-level of OCaml Use it to say: “Give me the value of this expression” Not used in the body of a function Not needed after each function definition Though for now it won’t hurt if used there e1; e2 evaluates e1 and then e2, and returns e2 let print_both (s, t) = print_string s; print_string t; "Printed s and t." notice no ; at end---it’s a separator, not a terminator print_both (”Colorless green ", ”ideas sleep")‏ Prints ”Colorless green ideas sleep", andreturns "Printed s and t."

  22. CMSC 330 Lists in OCaml The basic data structure in OCaml is the list Lists are written as [e1; e2; ...; en] # [1;2;3] - : int list = [1;2;3] Notice int list – lists must be homogeneous The empty list is [] # [] - : 'a list The 'a means “a list containing anything” we’ll see more about this later Warning: Don’t use a comma instead of a semicolon Means something different (we’ll see in a bit)‏

  23. CMSC 330 Consider a Linked List in C struct list { int elt; struct list *next; }; … struct list *l; … i = 0; while (l != NULL) { i++; l = l->next; }

  24. CMSC 330 Lists in OCaml are Linked [1;2;3] is represented above A nonempty list is a pair (element, rest of list)‏ The element is the head of the list The pointer is the tail or rest of the list ...which is itself a list! Thus in math a list is either The empty list [] Or a pair consisting of an element and a list This recursive structure will come in handy shortly

  25. CMSC 330 Lists are Linked (cont’d)‏ :: prepends an element to a list h::t is the list with h as the element at the beginning and t as the “rest” :: is called a constructor, because it builds a list Although it’s not emphasized, :: does allocate memory Examples 3::[] (* The list [3] *)‏ 2::(3::[]) (* The list [2; 3] *)‏ 1::(2::(3::[])) (* The list [1; 2; 3] *)‏

  26. CMSC 330 More Examples # let y = [1;2;3] ;; val y : int list = [1; 2; 3] # let x = 4::y ;; val x : int list = [4; 1; 2; 3] # let z = 5::y ;; val z : int list = [5; 1; 2; 3] not modifying existing lists, just creating new lists # let w = [1;2]::y ;; This expression has type int list but is here used with type int list list The left argument of :: is an element Can you construct a list y such that [1;2]::y makes sense?

  27. CMSC 330 Lists of Lists Lists can be nested arbitrarily Example: [ [9; 10; 11]; [5; 4; 3; 2] ] (Type int list list)‏

  28. CMSC 330 Practice What is the type of: [1;2;3] [ [ []; []; [1.3;2.4] ] ] let func x = x::(0::[])‏ int list float list list list int -> int list

More Related